MiniMax M2.7 vs Granite Embedding 278m Multilingual

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Deepinfra · Sep 3, 2026$0.106IBM watsonx.ai · Aug 29, 2026
Output priceFrom · USD / 1M tokens$1.00Deepinfra · Sep 3, 2026Not reported
Context windowMaximum documented tokens205K1K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMiniMax-M2.7granite-embedding-278m-multilingual
DeveloperMiniMaxIBM
FamilyMinimax M2 7Granite Embedding 278m Multilingual
ModelMiniMax-M2.7granite-embedding-278m-multilingual
VersionMiniMax-M2.7granite-embedding-278m-multilingual
Lifecycleactiveactive
Released2026-03-182024-12-18
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextEmbedding
Context window205K1K
Total parameters228.7B278M
Active parametersUnknownUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Hugging Face (Standard), IBM watsonx.ai (Pay as you go)
Capabilitieschat, generation, toolsembeddings

MiniMax M2.7 Capabilities

chatgenerationtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M2.7

Granite Embedding 278m Multilingual Capabilities

embeddings
Serving providers2
Canonical IDibm-granite/granite-embedding-278m-multilingual

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.7 vs Granite Embedding 278m Multilingual FAQs

Is MiniMax M2.7 or Granite Embedding 278m Multilingual better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.7 and Granite Embedding 278m Multilingual, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

MiniMax M2.7 is $0.25 and Granite Embedding 278m Multilingual is $0.106 per million tokens, so Granite Embedding 278m Multilingual is cheaper on this metric. Only MiniMax M2.7 has a directly sourced output price: $1.00 per million tokens.

Which has a larger context window, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

MiniMax M2.7 has the larger sourced context window. MiniMax M2.7 supports 205K and Granite Embedding 278m Multilingual supports 1K.

Which performs better in benchmarks, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can MiniMax M2.7 or Granite Embedding 278m Multilingual be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M2.7 is open weight; Granite Embedding 278m Multilingual is open weight.

Can MiniMax M2.7 and Granite Embedding 278m Multilingual understand images?+

MiniMax M2.7 is not documented with image input; Granite Embedding 278m Multilingual is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

Neither has a larger sourced maximum output. MiniMax M2.7 is — and Granite Embedding 278m Multilingual is —.

Do MiniMax M2.7 and Granite Embedding 278m Multilingual support reasoning and tool use?+

MiniMax M2.7: tool calling. Granite Embedding 278m Multilingual: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

MiniMax M2.7 has 5 sourced provider routes; Granite Embedding 278m Multilingual has 2, so MiniMax M2.7 has broader tracked availability.

Which offers better value, MiniMax M2.7 or Granite Embedding 278m Multilingual?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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